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» Tangent Distance Kernels for Support Vector Machines
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148
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TCS
2008
15 years 3 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
115
Voted
DAS
2010
Springer
15 years 7 months ago
A kernel-based approach to document retrieval
In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain ...
Albert Gordo, Jaume Gibert, Ernest Valveny, Mar&cc...
129
Voted
ICML
2010
IEEE
15 years 4 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
157
Voted
AVSS
2007
IEEE
15 years 10 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
121
Voted
ICIP
2004
IEEE
16 years 5 months ago
A robust face detector under partial occlusion
This paper presents a robust face detector under partial occlusion. In recent years, the effectiveness of Support Vector Machine (SVM) to object detection is reported. However, co...
Kazuhiro Hotta